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Channel

Kompas Lab kurslari

@kompaslab

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

84subscribers

+4 since we began measuring on 7 November 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003885571887
TypeChannel
Username@kompaslab
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 November 2026
Last confirmed live8 November 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/kompaslab

Growth

8084827 Nov 2026, 16:47 — 80 subscribers7 Nov 2026, 17:22 — 80 subscribers8 Nov 2026, 07:50 — 84 subscribers7 Nov 2026, 16:478 Nov 2026, 07:50
3 measurements taken within a single day, net +4. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 79–85 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Nov 2026, 07:5084+4
7 Nov 2026, 17:2280no change
7 Nov 2026, 16:4780first reading

Engagement

13 posts held, back to 16 October 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
1868.6%
avg views ÷ 84 subscribers
Avg views / post
1,570
12 posts measured
Reaction rate
0.144%
reactions ÷ views · ER floor
Posts in window
13
of 13 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 10 of 12 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held13 (16 October 2026 – 7 November 2026)
Views total18,835
Reactions total26
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 17:22 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
30s
Average length
15s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

26 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 42.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1142.3%
👍830.8%
⚡623.1%
❤13.85%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 10 of the 13 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 16 October 2026 to 7 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 13 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 10:15 UTC72 views4 reactionsread 7 November 2026

🧭Kompas Lab: xorijda öqiş va grantlarga özbek tilida, özingiz tayyorlanadigan töliq ekosistema Agentliksiz va mentorsiz: hujjatlarni özingiz yozasiz, platforma siz uchun eng munosib yölni körsatadi. 💵 Millionlaringizni tejab qoling Har bir bosqich 99,000 sömdan. Jami 4 ta bosqich bor. Tölov qilishdan atayin 🆓bepul modul qilingan. 🤔Qaror qabul qilish juda qulay Hujjat topşirişdan viza, suğurta va xarajatlarni rej…

👍2⚡1🔥1

7 Nov 2026, 09:18 UTC≈17,200 views4 reactionsread 7 November 2026
Photo

Çet elga öqişga ketaman deysizmi? Keyin savollar boşlanadi: — Qaysi stipendiya? — Pulini kim tölaydi? — Hujjatlaring tayyormi? — Motivation letter’ni qanday yozasiz? — Grant muddati qaçon? Köpçilik şu savollarga javob topolmay, agentlikka yuzlab dollar tölaydi. Kompas Lab — çet elda öqiş, stipendiyalar haqida özbek tilidagi amaliy töliq ekosistema. GKS (Koreya), Fulbright va Global UGRAD (Amerika), MEXT (Yaponiya…

⚡2❤1🔥1

7 Nov 2026, 02:02 UTC76 views4 reactionsread 7 November 2026

— Oyi, men Koreyaga oʻqishga ketaman. — Pulini kim toʻlaydi? — Stipendiya. — Qaysi stipendiya? — … — Hujjatlaring tayyormi? — … Shu “…” larni birga toʻldiramiz 🙂 GKS kursida (Global Korea Scholarship) nima kerak → qaysi tartibda → qanday yoziladi? oʻzbek tilida tushuntirilgan. Agentlikka pul bermasdan, hujjatlarni oʻzingiz tayyorlashni oʻrganing. Chet elda o’qish uchun agentliklarga $500-$1000 to’lashga shoshilma…

👍2⚡1🔥1

6 Nov 2026, 08:57 UTC62 views6 reactionsread 7 November 2026

Assalomu alaykum, Juma ayyomi muborak! Yaxshi kunda yaxshi yangilik 😌 Kompas Lab uçun Click tölov tizimi ulandi. Sinov tölovini ötkazdik, işladi. Tölov hali hamma uçun oçilmagan. Ommaviy oferta, maxfiylik siyosati va xavfsizlik tekşiruvini tugatib aniq bölgaç, shu kanalda yozamiz. M0 darslar avvalgidek bepul. Talabadan — Tadqiqotchiga Kuzatuvdan — Kashfiyotga 🧭 Kompas Lab Bizni Instagramda ham kuzatib bori…

🔥3⚡2👍1

21 Oct 2026, 14:43 UTC137 views1 reactionsread 7 November 2026
Photo

FOMO (Fear Of Missing Out) — boshqalarning yutuqlari, tinimsiz yangiliklar yoki "trend"lardan qolib ketish qo'rquvi. Ijtimoiy tarmoqlar bu hisni sun'iy manipulyatsiya qiladi. Natijada, ongingiz "shovqin yig'adigan" rejimga o'tadi va diqqat bilan ishlash (Deep Work) qobiliyatingiz keskin pasayadi. Fundamental natijalarga erishish uchun FOMO'ni JOMO'ga (Joy Of Missing Out — keraksiz ma'lumotlardan ongli ravishda quru…

🔥1

21 Oct 2026, 14:33 UTC103 viewsread 7 November 2026
Photo

Bir xil 24 soat, lekin ikki xil ong. Ariza texnik jihatdan bir haftada yozilishi mumkin. Biroq, u talab qiladigan tajriba, intizom va chuqur dunyoqarash oylar davomida shakllanadi. Reels, FOMO va taqqoslash kabi informatsion shovqinlardan voz keching. Fokusni faqat o'sishga va sifatli savollar yig'ishga qarating (Deep Work). Talabadan — Tadqiqotchiga Kuzatuvdan — Kashfiyotga 🧭 Kompas Lab Instagram: kompaslab 🌐…

17 Oct 2026, 15:06 UTC184 views1 reactionsread 7 November 2026
Video

Toshkentdan qayerga? Koreya: GKS Lab Germaniya: DAAD Lab AQSH: USA Lab Xorijda rasmiy ish (Buyuk Britaniya, Polsha, Germaniya, Koreya): Musofir Lab Bakalavr, Master va PhD Lablari istalgan davlatga umumiy akademik tayyorgarlik beradi. Daraja Labini davlat Labi bilan birga ishlatish mumkin. Har Labda M0 bepul: kompaslab.uz Qaysi davlatni koʻzlayapsiz? Izohda yozing. Talabadan — Tadqiqotchiga Kuzatuvdan — Kashfiy…

👍1

17 Oct 2026, 14:33 UTC84 views1 reactionsread 7 November 2026
Video

Kompas Lab nima va qanday ishlaydi? Xorijiy universitet va stipendiyaga oʻzbek tilida tayyorgarlik. STEM yoʻnalishidagi oʻquvchi va talabalar uchun 8 ta Lab: • Daraja: Bachelor, Master, PhD • Davlat va stipendiya: GKS (Koreya), USA, DAAD (Germaniya) • Talaba hayoti va ish: Tadbirkor Talaba, Musofir Har Lab bepul M0 bilan boshlanadi. Har dars Topshiriq bilan tugaydi, har modul bitta tayyor hujjat bilan yopiladi. Huj…

👍1

17 Oct 2026, 10:39 UTC72 views1 reactionsread 7 November 2026

kompaslab.uz: shu haftada nimalar o‘zgardi? 1. 🌍 «Toshkentdan qayerga?» globusi Bosh sahifada mamlakatni tanlasangiz, u yerga qaysi Lab tayyorlashi chiqadi. Globusda ikkita qo‘shimcha qatlam bor: Ob-havo: poytaxtdagi hozirgi havo. Iqlim: oxirgi 12 oy. Iqlim qatlami issiq yozli, sovuq qishli va yomg‘irli davlatlarni ajratib ko‘rsatadi. To‘liq ekran rejimi ham bor. 2. 🧭 Bepul M0 modullar Bachelor, Master, PhD, G…

👍1

16 Oct 2026, 17:49 UTC76 views3 reactionsread 7 November 2026
Photo

kompaslab.uz vebsaytida kurslarimiz narxlari shaffof yozilgan, yashirilmagan. Konsalting firmalar narxlari bilan taaqoslab ko’rsangiz bo’ladi 😎 Agar oylik obunani bilan taqqoslasak ~100 barobar (xatto undanda ko’proq) hamyonbop bo’lishi ham mumkin, Kuzatuvdan - Kashfiyotga Instagram: Instagram.com/kompaslab @kompaslab Vebsayt: kompaslab.uz

🔥3

16 Oct 2026, 17:43 UTC68 views1 reactionsread 7 November 2026
Photo

Nega Kompas “Lab”? Kuzatuvdan - Kashfiyotga Instagram: Instagram.com/kompaslab @kompaslab Vebsayt: kompaslab.uz

🔥1

16 Oct 2026, 11:31 UTC701 viewsread 7 November 2026
Photo

🔭 4 - Hozir saytda 🎓 13 - Ro’yxatdan o’tganlar 🔔 18 - Bugungi tashriflar 🤩 18 - Shu oydagi tashriflar 🌱 18 - Shu yildagi tashriflar Tashrif buyuring 😊 kompaslab.uz Kuzatuvdan Kashfiyotga @kompaslab Instagram: instagram.com/kompaslab

Showing the 12 most recent of 13 posts we hold for @kompaslab. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 November 2026 — this entry's latest reading, not the date you are reading this.

“Kompas Lab kurslari” (@kompaslab), 84 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/kompaslab.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.